Deep Reinforcement Learning for Backhaul Link Selection for Network Slices in IAB Networks

Keyphrases

• Base Station 100%
• Access Network 100%
• Backhaul Link 100%
• Deep Reinforcement Learning (deep RL) 100%
• Network Slice 100%
• Integrated Access 100%
• Link Selection 100%
• Backhaul Networks 100%
• Backhaul 66%
• Cost Reduction 33%
• Congestion 33%
• Network Operator 33%
• 3rd Generation Partnership Project (3GPP) 33%
• Hidden Layer 33%
• Base Station Selection 33%
• Mobile Traffic 33%
• Networked Agents 33%
• Traffic Demand 33%
• Fifth Generation (5G) Mobile 33%
• Additional Capacity 33%
• 5G Mobile Networks 33%
• Activation Function 33%
• Rectified Linear Unit (ReLU) 33%
• Double Deep Q-network 33%
• Selection Task 33%
• Wireless Backhaul Links 33%
• Backhaul Capacity 33%
• Fully Convolutional Neural Network 33%

Computer Science

• Deep Reinforcement Learning 100%
• Backhaul Network 100%
• Mobile Network 50%
• Neural Network 50%
• Network Operator 50%
• Traffic Demand 50%
• Activation Function 50%
• ReLU Function 50%
• Deep Q-Network 50%
• Experiencing Congestion 50%
• Selection Task 50%
• Wireless Backhaul 50%

Engineering

• Basestation 100%
• Deep Reinforcement Learning 100%
• Network Operator 25%
• Hidden Layer 25%
• Activation Function 25%
• Linear Unit 25%